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Buckets: -------- * terms * range * global * filter * filters * missing * nested * reverse nested * children * significant terms * date range * ip range * range * histogram * date histogram * geo distance * geo hash grid Metrics: -------- * min * max * sum * avg * stats * extended stats * value count * percentiles * percentile rank * cardinality * geo bounds * top hits * scripted metric
58 lines
1.8 KiB
Plaintext
58 lines
1.8 KiB
Plaintext
[[java-aggs-bucket-geohashgrid]]
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==== Geo Hash Grid Aggregation
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Here is how you can use
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{ref}/search-aggregations-bucket-geohashgrid-aggregation.html[Geo Hash Grid Aggregation]
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with Java API.
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===== Prepare aggregation request
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Here is an example on how to create the aggregation request:
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[source,java]
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--------------------------------------------------
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AggregationBuilder aggregation =
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AggregationBuilders
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.geohashGrid("agg")
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.field("address.location")
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.precision(4);
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--------------------------------------------------
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===== Use aggregation response
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Import Aggregation definition classes:
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[source,java]
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--------------------------------------------------
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import org.elasticsearch.search.aggregations.bucket.geogrid.GeoHashGrid;
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--------------------------------------------------
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[source,java]
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--------------------------------------------------
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// sr is here your SearchResponse object
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GeoHashGrid agg = sr.getAggregations().get("agg");
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// For each entry
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for (GeoHashGrid.Bucket entry : agg.getBuckets()) {
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String key = entry.getKey(); // key as String
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GeoPoint keyAsGeoPoint = entry.getKeyAsGeoPoint(); // key as geo point
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long docCount = entry.getDocCount(); // Doc count
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logger.info("key [{}], point {}, doc_count [{}]", key, keyAsGeoPoint, docCount);
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}
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--------------------------------------------------
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This will basically produce:
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[source,text]
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--------------------------------------------------
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key [gbqu], point [47.197265625, -1.58203125], doc_count [1282]
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key [gbvn], point [50.361328125, -4.04296875], doc_count [1248]
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key [u1j0], point [50.712890625, 7.20703125], doc_count [1156]
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key [u0j2], point [45.087890625, 7.55859375], doc_count [1138]
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...
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--------------------------------------------------
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